Panel Testing for Familial Breast Cancer: Calibrating the Tension Between Research and Clinical Care.

PURPOSE Gene panel sequencing is revolutionizing germline risk assessment for hereditary breast cancer. Despite scant evidence supporting the role of many of these genes in breast cancer predisposition, results are often reported to families as the definitive explanation for their family history. We assessed the frequency of mutations in 18 genes included in hereditary breast cancer panels among index cases from families with breast cancer and matched population controls. PATIENTS AND METHODS Cases (n = 2,000) were predominantly breast cancer-affected women referred to specialized Familial Cancer Centers on the basis of a strong family history of breast cancer and BRCA1 and BRCA2 wild type. Controls (n = 1,997) were cancer-free women from the LifePool study. Sequencing data were filtered for known pathogenic or novel loss-of-function mutations. RESULTS Excluding 19 mutations identified in BRCA1 and BRCA2 among the cases and controls, a total of 78 cases (3.9%) and 33 controls (1.6%) were found to carry potentially actionable mutations. A significant excess of mutations was only observed for PALB2 (26 cases, four controls) and TP53 (five cases, zero controls), whereas no mutations were identified in STK11. Among the remaining genes, loss-of-function mutations were rare, with similar frequency between cases and controls. CONCLUSION The frequency of mutations in most breast cancer panel genes among individuals selected for possible hereditary breast cancer is low and, in many cases, similar or even lower than that observed among cancer-free population controls. Although multigene panels can significantly aid in cancer risk management and expedite clinical translation of new genes, they equally have the potential to provide clinical misinformation and harm at the individual level if the data are not interpreted cautiously.

[1]  Nazneen Rahman,et al.  Gene-panel sequencing and the prediction of breast-cancer risk. , 2015, The New England journal of medicine.

[2]  Karla Bowles,et al.  Frequency of mutations in individuals with breast cancer referred for BRCA1 and BRCA2 testing using next‐generation sequencing with a 25‐gene panel , 2015, Cancer.

[3]  Yuya Kobayashi,et al.  Clinical evaluation of a multiple-gene sequencing panel for hereditary cancer risk assessment. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4]  T. Frebourg,et al.  Next-generation sequencing for the diagnosis of hereditary breast and ovarian cancer using genomic capture targeting multiple candidate genes , 2014, European Journal of Human Genetics.

[5]  Deanna M. Church,et al.  ClinVar: public archive of relationships among sequence variation and human phenotype , 2013, Nucleic Acids Res..

[6]  W. Foulkes,et al.  Breast-cancer risk in families with mutations in PALB2. , 2014, The New England journal of medicine.

[7]  J. Hopper,et al.  Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study , 2014, Breast Cancer Research.

[8]  F. Couch,et al.  BRCA1/2 sequence variants of uncertain significance: a primer for providers to assist in discussions and in medical management. , 2013, The oncologist.

[9]  D. Bowtell,et al.  A role for common genomic variants in the assessment of familial breast cancer. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  R. Tothill,et al.  Exome Sequencing Identifies Rare Deleterious Mutations in DNA Repair Genes FANCC and BLM as Potential Breast Cancer Susceptibility Alleles , 2012, PLoS genetics.

[11]  K. Offit,et al.  Heterozygous Mutations in DNA Repair Genes and Hereditary Breast Cancer: A Question of Power , 2012, PLoS genetics.

[12]  Deborah Hughes,et al.  Germline mutations in RAD51D confer susceptibility to ovarian cancer , 2011, Nature Genetics.

[13]  P. Oefner,et al.  Rare variants in the ATM gene and risk of breast cancer , 2011, Breast Cancer Research.

[14]  M. DePristo,et al.  A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.

[15]  R. Scott,et al.  BRIP1, PALB2, and RAD51C mutation analysis reveals their relative importance as genetic susceptibility factors for breast cancer , 2011, Breast Cancer Research and Treatment.

[16]  M. DePristo,et al.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.

[17]  T. Walsh,et al.  Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing , 2010, Proceedings of the National Academy of Sciences.

[18]  Dieter Niederacher,et al.  Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene , 2010, Nature Genetics.

[19]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[20]  Barry Rosen,et al.  Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada. , 2006, Journal of the National Cancer Institute.

[21]  R. Winqvist,et al.  Mutation screening of Mre11 complex genes: indication of RAD50 involvement in breast and ovarian cancer susceptibility , 2003, Journal of medical genetics.